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⚕️ Multi-Agent Medical AI Assistant A full-stack system that combines agents, computer vision, hybrid RAG, and voice I/O into a unified pipeline for diagnosis, research, and patient interaction. The architecture includes: • LangGraph by LangChain for agent orchestration • PyTorch vision models • Hybrid RAG on Qdrant + Hugging... show more

Qdrant

11,697 subscribers

34,045 views • 1 year ago •via X (Twitter)

Health & Wellness Science & Technology Education

Anya Rossi• Live Now

Private livecam show

4 Comments

Elliot Chris1 year ago

This is an impressive project showcasing the power of combining RAG, real-time search, and agents! We see similar needs from users building custom AI apps on jenova ai – they often integrate uploaded knowledge files and use our real-time web search to create specialized assistants, all configured via natural language.

ksminnovation1 year ago

AI is transforming healthcare! A KSM-led study shows AI can detect Celiac disease 4 years earlier @TalPatalon @MedPredict

Supreme 🐐1 year ago

@LangChainAI This is dope. It’s giving real AgentOps energy. Multi-modal, multi-agent, and real-world focused—now we’re talking scalable clinical intelligence. Next up: autonomous claim coding and patient onboarding?

Vishal1 year ago

@LangChainAI Impressive integration of cutting-edge technologies for a seamless medical assistant.

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